A Framework for Adaptation of the Active-DTW Classifier for Online Handwritten Character Recognition
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[1] Kin-Man Lam,et al. An accurate active shape model for facial feature extraction , 2004, Proceedings of 2004 International Symposium on Intelligent Multimedia, Video and Speech Processing, 2004..
[2] Erkki Oja,et al. Experiments with adaptation strategies for a prototype-based recognition system for isolated handwritten characters , 2001, International Journal on Document Analysis and Recognition.
[3] M. V. Velzen,et al. Self-organizing maps , 2007 .
[4] Demetri Terzopoulos,et al. Snakes: Active contour models , 2004, International Journal of Computer Vision.
[5] T. F. CootesWolfson. Classifying Variable Objects Using A Flexible Shape Model , 1995 .
[6] Timothy F. Cootes,et al. Statistical models of appearance for medical image analysis and computer vision , 2001, SPIE Medical Imaging.
[7] Dinesh Mandalapu,et al. Active-DTW : A Generative Classifier that combines Elastic Matching with Active Shape Modeling for Online Handwritten Character Recognition , 2006 .
[8] Ralph R. Martin,et al. Incremental Eigenanalysis for Classification , 1998, BMVC.
[9] Erkki Oja,et al. Controlling on-line adaptation of a prototype-based classifier for handwritten characters , 2000, Proceedings 15th International Conference on Pattern Recognition. ICPR-2000.
[10] Erkki Oja,et al. Comparison of Adaptive Strategies for On-Line Character Recognition , 1998 .
[11] Timothy F. Cootes,et al. Classifying variable objects using a flexible shape model , 1995 .
[12] Timothy F. Cootes,et al. Active Shape Models-Their Training and Application , 1995, Comput. Vis. Image Underst..
[13] Christopher M. Bishop,et al. Discriminative Writer Adaptation , 2006 .